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meet RMIT University's minimum requirements for admission to a Doctor of Philosophy (PhD) program and should hold an Honours degree (First Class) or an equivalent standard Master's degree with a
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stiffness by changing their composition and self-assembly process. The relationship between nanoparticle structure and stiffness will be determined both through experimental and modelling approaches. Finally
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Australia upon commencement of the PhD To be eligible for this scholarship, you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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to both domestic and international applicants, but the applicant must be living in Australia upon commencement of the PhD. To be eligible for this scholarship you must: Have a first-class Honours
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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Cryopreservation of cells involves storage at very cold temperatures to minimise biochemical activity and prevent damage to the cells. However, the freezing process is damaging and requires
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and the contact details of two referees. Prospective candidates will be invited to submit a full application for admission to the PhD Biomedical Science (DR227). Scholarship applications will only be
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be closed when the right PhD candidates are selected Application will be closed when the right PhD candidates are selected One (1) One (1) To be eligible for this scholarship you must: Have a Master by
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electronic academic transcripts A short CV (including the contact details of two referees). The successful candidate will be supported to develop a formal PhD application to RMIT. Scholarship applications will